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Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. July 2023. DOI:10.1109/IGARSS52108.2023.10281443.
Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. Y Wang, S Shi, J Chen. IGARSS 2023-2023 IEEE ...
In this article, we harness the power of transformers to conquer the task of hyperspectral unmixing and propose a novel deep neural network-based unmixing model ...
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Feb 6, 2024 · A novel attention-based Hyperspectral Unmixing algorithm called Transformer-based Endmember Fusion with Spatial Context for Hyperspectral ...
Blind hyperspectral unmixing (HU) involves identifying pixel spectra as distinct materials (endmembers) and simultaneously determining ...
1. Hyperspectral images provide spatial information and abundant spectral information, enabling accurate recognition of image targets.
May 28, 2024 · Furthermore, TDGAN utilizes the Swin transformer, which effectively extracts both global and local features from the images. This ensures ...
Mar 31, 2023 · EFFICIENT BLIND HYPERSPECTRAL UNMIXING WITH GLOBAL SPATIAL INFORMATION BASED ON SWIN TRANSFORMER. 2707, EFFICIENT CALCULATION OF THE KIRCHHOFF ...
Oct 12, 2024 · Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. Yun Wang, Shuai Shi, Jie Chen. 2023, IEEE ...
May 18, 2023 · In this paper, we propose a novel Unmixing-Guided Convolutional Transformer Network (UGCT) for interpretable SR.
Missing: Blind | Show results with:Blind